Record link: 
http://hdl.handle.net/20.500.12708/219597
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Title: 
Scenario-Based Curriculum Generation for Multi-Agent Driving
en
Citation: 
Brunnbauer, A., Berducci, L., Priller, P., Ničković, D., & Grosu, R. (2025). Scenario-Based Curriculum Generation for Multi-Agent Driving. In 2025 IEEE International Conference on Robotics and Automation (ICRA) (pp. 1824–1830). IEEE. https://doi.org/10.1109/ICRA55743.2025.11128162
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Publisher DOI: 
10.1109/ICRA55743.2025.11128162
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Publication Type: 
Inproceedings - Full-Paper Contribution
en
Language: 
English
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Authors: 
Brunnbauer, Axel 
Berducci, Luigi 
Priller, Peter 
Ničković, Dejan 
Grosu, Radu 
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Organisational Unit: 
E191-01 - Forschungsbereich Cyber-Physical Systems 
E056-17 - Fachbereich Trustworthy Autonomous Cyber-Physical Systems 
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Published in: 
2025 IEEE International Conference on Robotics and Automation (ICRA) 
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ISBN: 
979-8-3315-4139-2
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Date (published): 
2025
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Event name: 
IEEE International Conference on Robotics and Automation (ICRA 2025) 
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Event date: 
19-May-2025 - 23-May-2025
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Event place: 
Atlanta, GA, United States of America (the)
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Number of Pages: 
7
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Publisher: 
IEEE
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Peer reviewed: 
Yes
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Keywords: 
Complex Environment; Simulation Environment; Autonomous Vehicles
en
Project title: 
Autonomous-Driving Examiner: FFG Projektnummer: 880811 (FFG - Österr. Forschungsförderungs- gesellschaft mbH) 
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Research Areas: 
Computer Engineering and Software-Intensive Systems: 100%
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Science Branch: 
1020 - Informatik: 100%
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Appears in Collections:
Conference Paper

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